Senior Full-Stack Engineer: Java/Kotlin, Kafka & Kubernetes

talentvis singapore pte. ltd.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Talentvis Singapore Pte. Ltd. is seeking a Senior Software Engineer to build and maintain full-stack applications and event-driven services using Java or Kotlin with Kafka.

You will own features through development, automated testing and deployment, collaborating with engineers to resolve production issues. The role focuses on hands-on work across JVM frameworks, deploying to VMs and containers, and scaling services on Kubernetes.

Qualifications

• 5-8 years of software engineering experience in Agile teams.
• Hands-on experience building and deploying full-stack apps with Java or Kotlin and JVM libraries/frameworks.
• Experience deploying to VMs and containers and scaling services on Kubernetes.
• Hands-on experience implementing Kafka-based or equivalent event-driven distributed services.
• Experience with requirements reviews, estimation, automated tests and defect resolution.

Responsibilities

• Develop application features and supporting services using Java or Kotlin and JVM frameworks.
• Implement Kafka-based or equivalent event-driven integrations between components.
• Review requirements, estimate development work and contribute to technical discussions.
• Write automated tests and resolve defects in application, deployment and integration.
• Deploy applications to virtual machines and containers and support service scaling on Kubernetes.

Skills

Java/Kotlin development

Kafka-based systems

Agile delivery

Automated testing

Reviews and estimation

Tools

Docker

Git

GitLab CI/CD

Spring Boot

Relational databases

Job description

Talentvis Singapore Pte. Ltd. is seeking a Senior Software Engineer to build and maintain full-stack applications and event-driven services using Java or Kotlin with Kafka.

You will own features through development, automated testing and deployment, collaborating with engineers to resolve production issues. The role focuses on hands-on work across JVM frameworks, deploying to VMs and containers, and scaling services on Kubernetes.